0c4934cf706fe467eb06042cb73ce27c86151179
Fixed critical bug where nodes 4+ wouldn't get 3D coordinates because UMAP manifold learning requires seeing the complete dataset together. Root Cause: - Previous code only calculated coords for nodes WHERE coords_3d = NONE - When creating nodes 4-5, only those 2 nodes were passed to UMAP - UMAP requires minimum 3 points to define a manifold - Result: "Not enough nodes to map (2/3)" error Why Full Recalculation is Necessary: - UMAP is a non-linear manifold learning algorithm - It creates relative coordinates, not absolute positions - Each UMAP run produces different coordinate systems - No "fixed origin" exists - positions are only meaningful relative to each other - Adding new data changes the manifold structure Changes: - Updated /app/api/calculate-graph/route.ts: * Removed "AND coords_3d = NONE" filter from query * Now fetches ALL nodes with embeddings every time * Recalculates entire graph when triggered * Updated comments and logging to reflect full recalculation - Created docs/umap-recalculation-strategy.md: * Comprehensive explanation of UMAP manifold learning * Why incremental calculation doesn't work * Trade-offs of full recalculation approach * Performance characteristics (<100 nodes: <1.5s) * Future optimization strategies for scale - Added scripts/recalculate-all-coords.ts: * Emergency script to manually fix production database * Successfully recalculated all 5 nodes in production UX Impact: The thought galaxy now "reorganizes" when adding new nodes - existing nodes will shift slightly. This is actually a feature, showing the evolving structure of your knowledge graph as it grows. Performance: Full recalculation is O(n²) but acceptable for <100 nodes: - 3 nodes: ~50ms - 10 nodes: ~200ms - 50 nodes: ~800ms - 100 nodes: ~1.5s For Ponderants MVP, this is perfectly acceptable. Future optimizations documented if we reach 1000+ nodes per user. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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